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to oxygen levels and tumor aggressiveness. Using imaging-based measurements of pH and O₂ in mouse tumor models, we will integrate these readouts with spatially resolved single-cell transcriptomics to identify
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of animal models of stress and anxiety and requires the analysis of multimodal high-throughput molecular and behavioral data, to deconstruct the underlying mechanisms responsible for antidepressant treatment
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tissues. The facility will integrate state-of-the-art methods for spatial transcriptomics, advanced microscopy, volumetric imaging, neuronal activity mapping, and multimodal data analysis, with an initial
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; Nguyen et al., 2023). By integrating large scale, multi-modal data and leveraging self-supervised and transfer learning, these models demonstrate satisfactory spatial-temporal simulation and predictions
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, require manual access, and offer limited spatial and temporal resolution. These methods also lack the sensitivity to detect early changes in global structural behavior. In contrast, wave-based techniques
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. CESBIO is organized into two research teams (modeling and observation systems) and maintains a strong international outlook through collaborations and missions abroad. Where to apply Website https
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preclinical models. Applying advanced molecular and cellular techniques, such as bulk and single-cell RNA sequencing, spatial transcriptomics, immunohistochemistry, immunoprecipitation, RNA-pull down, ChIP-seq
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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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-based approaches, Difference in Difference models, Qualitative Comparative Analysis, Bayesian hierarchical modelling); o Experience working with and synthesizing different types of social and ecological
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) in AI for Equitable Disease Modelling to join the GeoAI for Health Equity Lab (GAHEL, pronounced “gail”) led by Dr. Sabrina Li. The PDRA will contribute to Dr. Li’s UKRI-funded Future Leaders